Dynopt Guide
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1 Before You Begin
1.1 What is dynopt
1.2 What is New in this Version
1.3 How to Use this Manual
1.4 Code, Documentation, and License
1.5 Installation
1.5.1 Manual Installation
1.5.2 Installation using tbxmanager
1.5.3 Optimisation Toolbox
2 Dynamic Optimisation
2.1 Optimisation Problem Statement
2.1.1 Cost Functional
2.1.2 Process Model Equations
2.1.3 Constraints
2.2 Optimal Control Problem Solutions
2.3 NLP Formulation Problem
3 Tutorial
3.1 ODE systems
3.1.1 Example 1: Unconstrained Problem
3.1.2 Example 2: Constrained Problem with Gradients
3.1.3 Example 3: Unconstrained Problem with Gradients and Bounds
3.1.4 Example 4: Inequality State Path Constraint Problem
3.1.5 Example 5: Parameter Estimation Problem
3.1.6 Example: Minimum Time Problem
3.2 DAE systems
3.2.1 Example 6: Batch Reactor Problem
3.3 Maximisation
3.4 Greater than Zero Constraints
4 Reference
4.1 Function Arguments
4.1.1 Input Arguments
4.1.2 Output Arguments
4.2 Function Description
4.2.1 Purpose
4.2.2 Syntax and Description
4.2.3 Arguments
4.2.4 Algorithm
4.3 Additional Functions
4.3.1 Function profiles
4.3.2 Function constraints
5 Examples
5.1 Problem 4
5.2 Problem 5
5.3 Problem 6
5.4 Problem 7
5.5 Problem 9
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